Bump version to 0.18.10 (#2660)

Signed-off-by: Merel Theisen <merel.theisen@quantumblack.com>

CITATION.cff

@@ -21,6 +21,8 @@ authors:
   given-names: Rashida
 - family-names: Katiyar
   given-names: Ankita
+- family-names: Kumar Pilla
+  given-names: Ravi
 - family-names: Koh
   given-names: Amanda
 - family-names: Mackay
@@ -43,6 +45,6 @@ authors:
 - family-names: Theisen
   given-names: Merel
 title: Kedro
-version: 0.18.9
-date-released: 2023-05-31
+version: 0.18.10
+date-released: 2023-06-08
 url: https://github.com/kedro-org/kedro

RELEASE.md

@@ -8,17 +8,22 @@
 
 ## Migration guide from Kedro 0.18.* to 0.19.*
 
-# Upcoming Release 0.18.10
+# Upcoming Release 0.18.11
 
 ## Major features and improvements
-* Added support for variable interpolation in the catalog with the `OmegaConfigLoader`.
 
 ## Bug fixes and other changes
 
 ## Breaking changes to the API
 
 ## Upcoming deprecations for Kedro 0.19.0
 
+# Release 0.18.10
+
+## Major features and improvements
+* Rebrand across all documentation and Kedro assets.
+* Added support for variable interpolation in the catalog with the `OmegaConfigLoader`.
+
 # Release 0.18.9
 
 ## Major features and improvements

docs/source/deployment/databricks/databricks_workspace.md

@@ -38,7 +38,7 @@ conda create --name iris_databricks python=3.7 -y
 conda activate iris_databricks
 
 # install Kedro and create a new project
-pip install "kedro~=0.18.9"
+pip install "kedro~=0.18.10"
 # name your project Iris Databricks when prompted for it
 kedro new --starter=pyspark-iris
 ```
@@ -174,7 +174,7 @@ In your newly-created notebook, put each of the below code snippets into a separ
 * Install Kedro and the latest compatible version of Kedro-Datasets.
 
 ```console
-%pip install "kedro==0.18.9" "kedro-datasets[spark.SparkDataSet]~=1.1"
+%pip install "kedro==0.18.10" "kedro-datasets[spark.SparkDataSet]~=1.1"
 ```
 
 * Copy input data into DBFS

docs/source/development/commands_reference.md

@@ -114,7 +114,7 @@ Returns output similar to the following, depending on the version of Kedro used
 | |/ / _ \/ _` | '__/ _ \
 |   <  __/ (_| | | | (_) |
 |_|\_\___|\__,_|_|  \___/
-v0.18.9
+v0.18.10
 
 Kedro is a Python framework for
 creating reproducible, maintainable

docs/source/extend_kedro/plugins.md

@@ -84,7 +84,7 @@ setup(
 After that you can use this starter with `kedro new --starter=test_plugin_starter`.
 
 ```{note}
-If your starter lives on a git repository, by default Kedro attempts to use a tag or branch labelled with your version of Kedro, e.g. `0.18.9.`. This means that you can host different versions of your starter template on the same repository, and the correct one will automatically be used. If you do not wish to follow this structure, you should override it with the `checkout` flag, e.g. `kedro new --starter=test_plugin_starter --checkout=main`.
+If your starter lives on a git repository, by default Kedro attempts to use a tag or branch labelled with your version of Kedro, e.g. `0.18.10.`. This means that you can host different versions of your starter template on the same repository, and the correct one will automatically be used. If you do not wish to follow this structure, you should override it with the `checkout` flag, e.g. `kedro new --starter=test_plugin_starter --checkout=main`.
 ```
 
 ## Working with `click`

docs/source/tutorial/tutorial_template.md

@@ -49,7 +49,7 @@ pytest-mock>=1.7.1, <2.0
 pytest~=7.2
 
 # Kedro dependencies and datasets to work with different data formats (including CSV, Excel, and Parquet)
-kedro~=0.18.9
+kedro~=0.18.10
 kedro-datasets[pandas.CSVDataSet, pandas.ExcelDataSet, pandas.ParquetDataSet]~=1.1
 kedro-telemetry~=0.2.0
 kedro-viz~=6.0 # Visualise pipelines

kedro/__init__.py

@@ -3,4 +3,4 @@
 configuration and pipeline assembly.
 """
 
-__version__ = "0.18.9"
+__version__ = "0.18.10"